Unknown

Dataset Information

0

Animal and model systems for studying cystic fibrosis.


ABSTRACT: The cystic fibrosis (CF) field is the beneficiary of five species of animal models that lack functional cystic fibrosis transmembrane conductance regulator (CFTR) channel. These models are rapidly informing mechanisms of disease pathogenesis and CFTR function regardless of how faithfully a given organ reproduces the human CF phenotype. New approaches of genetic engineering with RNA-guided nucleases are rapidly expanding both the potential types of models available and the approaches to correct the CFTR defect. The application of new CRISPR/Cas9 genome editing techniques are similarly increasing capabilities for in vitro modeling of CFTR functions in cell lines and primary cells using air-liquid interface cultures and organoids. Gene editing of CFTR mutations in somatic stem cells and induced pluripotent stem cells is also transforming gene therapy approaches for CF. This short review evaluates several areas that are key to building animal and cell systems capable of modeling CF disease and testing potential treatments.

SUBMITTER: Rosen BH 

PROVIDER: S-EPMC5828943 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

altmetric image

Publications

Animal and model systems for studying cystic fibrosis.

Rosen Bradley H BH   Chanson Marc M   Gawenis Lara R LR   Liu Jinghua J   Sofoluwe Aderonke A   Zoso Alice A   Engelhardt John F JF  

Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society 20170919 2S


The cystic fibrosis (CF) field is the beneficiary of five species of animal models that lack functional cystic fibrosis transmembrane conductance regulator (CFTR) channel. These models are rapidly informing mechanisms of disease pathogenesis and CFTR function regardless of how faithfully a given organ reproduces the human CF phenotype. New approaches of genetic engineering with RNA-guided nucleases are rapidly expanding both the potential types of models available and the approaches to correct t  ...[more]

Similar Datasets

2023-10-26 | GSE246379 | GEO
| S-EPMC7229672 | biostudies-literature
| S-EPMC3617920 | biostudies-literature
| 2726863 | ecrin-mdr-crc
2011-05-03 | GSE28996 | GEO
| S-EPMC4270233 | biostudies-literature
2011-05-03 | E-GEOD-28996 | biostudies-arrayexpress
| PRJNA1032632 | ENA
| S-EPMC3178086 | biostudies-literature
| S-EPMC2198936 | biostudies-literature